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A highly scalable, ultra-fast and fully automated analysis pipeline for the discovery of genetic variation. Through implementation of novel deterministic parallelization techniques, Churchill allows computationally efficient analysis of a high-depth whole genome sample in less than two hours. The method is highly scalable, enabling full analysis of the 1000 Genomes raw sequence dataset in a week using cloud resources.

Software type:
Framework, Pipeline
Interface:
Command line interface
Restrictions to use:
Academic users only
Operating system:
Unix/Linux
Parallelization:
MapReduce
Computer skills:
Advanced
Stability:
Stable
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Maintainer

  • Peter White <peter.white at nationwidechildrens.org>

Institution(s)

Center for Microbial Pathogenesis, The Research Institute at Nationwide Children’s Hospital, 700 Children’s Drive, Columbus 43205, OH, USA

Funding source(s)

This work was supported by Nationwide Children’s Hospital Foundation, the Amazon Web Services in Education Research Grants program, and resource allocation awards from Ohio Supercomputing Center (OSC) and NSF XSEDE Pittsburgh Supercomputing Center (PSC).

  • (Kelly et al., 2015) Churchill: an ultra-fast, deterministic, highly scalable and balanced parallelization strategy for the discovery of human genetic variation in clinical and population-scale genomics. Genome biology.
    PMID: 25600152
  • (Nekrutenko and Taylor, 2012) Next-generation sequencing data interpretation: enhancing reproducibility and accessibility. Nature reviews Genetics.
    PMID: 22898652
  • (Smith, 2014) Buying in to bioinformatics: an introduction to commercial sequence analysis software. Briefings in bioinformatics.
    PMID: 25183247

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